Aggregating Farrell efficiencies with private and public inputs
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DOI: 10.1016/j.ejor.2019.01.071
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Cited by:- Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023.
"Bayesian Artificial Neural Networks for frontier efficiency analysis,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
- Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
- Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," LIDAM Reprints ISBA 2024012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Manh Pham & Léopold Simar & Valentin Zelenyuk, 2024.
"Statistical Inference for Aggregation of Malmquist Productivity Indices,"
Operations Research, INFORMS, vol. 72(4), pages 1615-1629, July.
- Manh D. Pham & Léopold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
- Pham, Manh & Simar, Léopold & Zelenyuk, Valentin, 2023. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Reprints ISBA 2023010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Pham, Manh D. & Simar, Léopold & Zelenyuk, Valentin, 2022. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Discussion Papers ISBA 2022005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024.
"Inference for aggregate efficiency: Theory and guidelines for practitioners,"
European Journal of Operational Research, Elsevier, vol. 316(1), pages 240-254.
- Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners," CEPA Working Papers Series WP032023, School of Economics, University of Queensland, Australia.
- Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," LIDAM Reprints ISBA 2024012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023. "Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners," LIDAM Discussion Papers ISBA 2023016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Rolf Färe & Giannis Karagiannis, 2024. "The denominator rule with unit ratio difference," Journal of Productivity Analysis, Springer, vol. 61(2), pages 183-190, April.
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Keywords
Data envelopment analysis; Aggregation; Farrell efficiency; Private inputs; Public inputs;
All these keywords.Statistics
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